Weinand, Jann M.McKenna, RussellMainzer, Kai2020-08-202020-08-202019Weinand, J M, McKenna, R & Mainzer, K 2019, 'Spatial high-resolution socio-energetic data for municipal energy system analyses', Scientific Data, vol. 6, 243. https://doi.org/10.1038/s41597-019-0233-02052-4463ORCID: /0000-0001-6758-482X/work/79418151https://hdl.handle.net/2164/14977Acknowledgements The authors gratefully acknowledge the financial support of the PhD College “Energy and Resource Efficiency” (ENRES), from the Federal State of Baden-Wuerttemberg, for funding the first author’s PhD studentship. The second author gratefully acknowledges the support of the Smart City Accelerator project (https://smartcitiesaccelerator.eu/about-smart-cities-accelerator/), which supported his contribution to this article. Furthermore, we acknowledge support by the KIT-Publication Fund of the Karlsruhe Institute of Technology. The usual disclaimer applies.61373553engSDG 7 - Affordable and Clean Energyenergy economicsenergy modellinggeothermal energyphotovoltaicswind energyTA Engineering (General). Civil engineering (General)Statistics and ProbabilityInformation SystemsEducationComputer Science ApplicationsStatistics, Probability and UncertaintyLibrary and Information SciencesTAJournal article10.1038/s41597-019-0233-0http://www.scopus.com/inward/record.url?scp=85074335463&partnerID=8YFLogxK6